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Questions and Answers
What university paper series title should be cited when referencing a university paper?
What university paper series title should be cited when referencing a university paper?
SAGE Publications
What is the purpose of Latent Class Analysis?
What is the purpose of Latent Class Analysis?
What is the formal name of the Latent Class Analysis model? The Formal _______ Class Model.
What is the formal name of the Latent Class Analysis model? The Formal _______ Class Model.
Latent
What is another term for Confirmatory Latent Class Analysis?
What is another term for Confirmatory Latent Class Analysis?
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Which university published the 'University Paper series on Quantitative Applications in the Social Sciences'?
Which university published the 'University Paper series on Quantitative Applications in the Social Sciences'?
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Latent Class Analysis is often considered a categorical data analogue to factor analysis.
Latent Class Analysis is often considered a categorical data analogue to factor analysis.
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What is latent class analysis used for?
What is latent class analysis used for?
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What does the latent class model aim to test?
What does the latent class model aim to test?
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Professor McCutcheon emphasizes the rationale for using latent class analysis.
Professor McCutcheon emphasizes the rationale for using latent class analysis.
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What does the latent variable in latent class analysis do?
What does the latent variable in latent class analysis do?
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What is the significance of recent methodological advances in latent class analysis?
What is the significance of recent methodological advances in latent class analysis?
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The latent variable is said to be the 'true' source of the originally observed covariances, diminishing the covariations between all of the observed variables to minimize the level of _____ covariation.
The latent variable is said to be the 'true' source of the originally observed covariances, diminishing the covariations between all of the observed variables to minimize the level of _____ covariation.
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What recent developments in latent class analysis allow for the comparison of latent variables across multiple populations?
What recent developments in latent class analysis allow for the comparison of latent variables across multiple populations?
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What type of latent variable is characterized as religious commitment in the study?
What type of latent variable is characterized as religious commitment in the study?
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What technique focuses on characterizing continuous latent variables by analyzing sets of observed indicators?
What technique focuses on characterizing continuous latent variables by analyzing sets of observed indicators?
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Regression analysis is used to analyze latent variables with discrete data.
Regression analysis is used to analyze latent variables with discrete data.
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Factor analysis focuses on characterizing ____________ latent variables by analyzing sets of observed indicators.
Factor analysis focuses on characterizing ____________ latent variables by analyzing sets of observed indicators.
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What do typologies allow analysts to focus their attention on?
What do typologies allow analysts to focus their attention on?
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Why are observed variables scored as categorical data in many social science data sets?
Why are observed variables scored as categorical data in many social science data sets?
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Latent profile analysis is used to characterize continuous latent variables from discrete observed variables.
Latent profile analysis is used to characterize continuous latent variables from discrete observed variables.
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What is latent class analysis?
What is latent class analysis?
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What did Lazarsfeld coin the term 'latent structure analysis' for?
What did Lazarsfeld coin the term 'latent structure analysis' for?
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Why has interest in methods for discrete data increased?
Why has interest in methods for discrete data increased?
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What is the purpose of exploratory analysis in research?
What is the purpose of exploratory analysis in research?
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What is the purpose of confirmatory analysis in research?
What is the purpose of confirmatory analysis in research?
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What is a latent variable?
What is a latent variable?
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A class model of latent variables can only be unidimensional.
A class model of latent variables can only be unidimensional.
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Study Notes
Book Information
- The book is published by Sage Publications, Inc. in 1987.
- The book is printed in the United States of America.
- All rights are reserved, and no part of the book may be reproduced or utilized without permission.
Contents
- The book contains a series editor's introduction.
- The book is divided into sections, including "The Logic of Latent Variables", "Latent Class Analysis", "Estimating Latent Categorical Variables", "Exploratory Latent Class Analyses", and "Confirmatory Latent Class Analysis".
- The book also covers "Analyzing Scale Response Patterns", "Models with Errors of Measurement", "Goodman's Scale Model", "Latent Structures Among Groups", and "Comparing Latent Structures Among Groups".
- The book concludes with "Conclusions" and has two appendices, "Appendix A" and "Appendix B".
Citations and References
- The book provides guidelines for citing university papers, including the use of proper form and inclusion of the paper number.
- The book suggests adapting one of the following formats for citing university papers: (1) IVERSEN, GUDMUND R., and NORPOTH, HELMUT. (1976) "Analysis of Variance." Sage University Paper series on Quantitative Applications in the Social Sciences, 07-001. Beverly Hills: Sage Pubns. or (2) Iversen, Gudmund R., and Norpoth, Helmut. 1976. "Analysis of Variance." Sage University Paper series on Quantitative Applications in the Social Sciences, 07-001. Beverly Hills: Sage Pubns.
Acknowledgments
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The author gratefully acknowledges the helpful comments of Lisa Crockett, William Eaton, and two anonymous reviewers.
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The data utilized in the book were made available in part by the Inter-university Consortium for Political and Social Research.### Latent Class Analysis
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Latent class analysis is a rapidly developing methodology for analyzing categorical data, introduced by Allan L. McCutcheon.
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It enables the characterization of categorical latent variables from an analysis of the relationships among several categorical manifest variables.
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The method is often referred to as a "categorical data analogue" to factor analysis.
About the Author
- Allan L. McCutcheon is the author of the book on Latent Class Analysis.
- He is a professor at the University of Delaware.
Introduction
- Latent class analysis is a technique that can be used to reduce a set of several categorical variables into a single latent variable with underlying types or "classes".
- The method can be used both as an exploratory and confirmatory technique.
- As a confirmatory technique, it can be used to test hypotheses regarding the structure of the relationships among the observed variables.
The Logic of Latent Variables
- Latent variables are unobserved variables that cannot be directly observed, such as authoritarianism, prejudice, alienation, or anomie.
- There are hundreds of other theoretically interesting concepts for which the available measures are assumed to be imperfect indicators.
Basic Orientation
- Many concepts in the social sciences cannot be directly observed, and latent class analysis is a powerful technique for making these concepts observable.
- The technique can be used to examine the relationships among two or more categorical variables.
Applications of Latent Class Analysis
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The latent class model can be used to examine the scaling properties of a set of survey items.
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There is an extended example of American electoral participation that builds on the logic of Guttman scaling.
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The method can be used to study the patterns of interrelationships among observed indicators to understand and characterize the underlying latent variable.### Latent Variables and Survey Analysis
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A new method for comparative analysis provides better characterization of latent variables, allowing for a more powerful survey analysis.
Basics of Latent Variables
- The basic premise of latent variables is that the covariance among manifest variables is due to each manifest variable's relationship to the latent variable.
- Latent variables are not directly observed but are inferred from the relationships between manifest variables.
Analysis of Latent Variables
- Recent developments provide a range of analytic techniques for parametric causal analysis among nominal and ordinal data.
- Techniques include log-linear, logit, and probit analyses, as well as other approaches.
- These techniques allow researchers to analyze causal relationships among manifest variables and latent variables.
Latent Variable Modeling
- Latent variable models can be used to characterize the relationships between manifest variables and latent variables.
- Factor analysis is a technique used to characterize continuous latent variables by analyzing sets of continuous or dichotomous observed indicators.
- Regression analysis has contributed to the popularity of latent variable modeling.
Applications of Latent Variable Modeling
- Latent variable modeling can be used to analyze the relationships between manifest variables and latent variables in various fields, such as social sciences.
- The latent class model is a type of latent variable model that can be used to analyze discrete data.
Importance of Latent Variable Modeling
- Latent variable modeling provides a powerful tool for analyzing complex relationships between manifest variables and latent variables.
- It allows researchers to gain a deeper understanding of the underlying structures and relationships between variables.
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Description
This book published by Sage Publications in 1987 covers various aspects of latent variable analysis, including latent class analysis, estimating latent categorical variables, and more.
